American policymakers are concerned that Beijing could use AI-powered facial recognition for domestic surveillance tools that could be exported to other authoritarian regimes. A common thread is running through nearly every tech debate in Washington these days: fear that an ambitious China is poised to win the next wave of technology.

At least one in every five adults are affected by mental difficulties in the United States. On a global level, the number is much bigger, with alone in Europe, almost 83 million people are suffering from mental health issues. However, where there is a problem, technology always has a solution. How about productively using Artificial Intelligence (AI) to solve this issue? This might sound surprising to many but, AI is already being used to treat mental health issues or even examine your voice for any evidence of depression.

China's research efforts in artificial intelligence (AI) began later than the U.S. and Europe. Early contributions in the 1970s included automated theorem proving, logic reasoning, search, and knowledge engineering. For example, Wen-tsün Wu is a pioneer in automated theorem proving. He received the State Preeminent Science and Technology Award in 2000, an honor bestowed on only 25 Chinese scientists across all fields to date. Bo Zhang and Ruqian Lu received the Life Achievement Award from the China Computer Federation (CCF) for their fundamental contributions respectively on problem solving and knowledge engineering.

Using a highly sophisticated form of pattern matching, researchers from Florida Atlantic University's College of Engineering and Computer Science are teaching "machines" to detect Medicare fraud. About $19 billion to $65 billion is lost every year because of Medicare fraud, waste, or abuse. Like the proverbial "needle in a haystack," human auditors or investigators have the painstaking task of manually checking thousands of Medicare claims for specific patterns that could indicate foul play or fraudulent behaviors. Furthermore, according to the U.S. Department of Justice, right now fraud enforcement efforts rely heavily on health care professionals coming forward with information about Medicare fraud. "The Effects of Varying Class Distribution on Learner Behavior for Medicare Fraud Detection With Imbalanced Big Data," published in the journal Health Information Science and Systems, uses big data from Medicare Part B and employs advanced data analytics and machine learning to automate the fraud detection process.

The term "artificial intelligence" gets thrown around a lot today, especially in government circles, where leaders are eager to get ahead of the technological curve. But the military, at least, doesn't really want true AI, according to a former deputy defense secretary. "We are not talking about Skynets and we're not talking about Terminators. Those are what you would call an artificial general intelligence-type weapon," Bob Work, who served as deputy defense secretary under Presidents Obama and Trump, said Tuesday during a speech at the annual SAP NS2 Solutions Summit. "We're looking for narrow AI systems that can compose courses of action to accomplish the tasks that the machine is given and it can choose among the courses of action."

After 18 months living and working on the surface of Mars, a crew of six explorers boards a deep-space transport rocket and leaves for Earth. No humans are staying behind, but work goes on without them: Autonomous robots will keep running a mining and chemical-synthesis plant they'd started years before this first crewed mission ever set foot on the planet. The plant produces water, oxygen, and rocket fuel using local resources, and it will methodically build up all the necessary supplies for the next Mars mission, set to arrive in another two years. This robot factory isn't science fiction: It's being developed jointly by multiple teams across NASA. One of them is the Swamp Works Lab at NASA's John F. Kennedy Space Center, in Florida, where I am a team lead. Officially, it's known as an in situ resource utilization (ISRU) system, but we like to call it a dust-to-thrust factory, because it turns simple dust into rocket fuel.

IMAGE: This is Taghi M. Khoshgoftaar, Ph.D., co-author and Motorola Professor in FAU's Department of Computer and Electrical Engineering and Computer Science. Using a highly sophisticated form of pattern matching, researchers from Florida Atlantic University's College of Engineering and Computer Science are teaching "machines" to detect Medicare fraud. About $19 billion to $65 billion is lost every year because of Medicare fraud, waste or abuse. Like the proverbial "needle in a haystack," human auditors or investigators have the painstaking task of manually checking thousands of Medicare claims for specific patterns that could indicate foul play or fraudulent behaviors. Furthermore, according to the U.S. Department of Justice, right now fraud enforcement efforts rely heavily on health care professionals coming forward with information about Medicare fraud.

Two men walk into a bar, the first one says: "robots will conquer our civilisation and make us their servants within ten years", the second one responds: "No, the principle of artificial intelligence (AI) is a far-fetched goal that will never see light". The bartender smiles, analyses their facial expressions, assigns a sentiment score to their sentences, evaluates their historical drinking trends, and decides to pour the first one a glass of gin and tonic, and the second one a glass of Scotch. Here is the spoiler: both men are lying; and the bartender is a robot. Not a funny joke, but a reality that is shadowing all conventional discussions about the future prospects of AI. In order to avoid such binary discussions about the goodness and possibilities of machine intelligence, and to eliminate the'hype' surrounding the topic, this article aims to unveil the slowly cooking, quietly simmering, unspoken truths of the inevitable global arms race of AI.

Artificial intelligence (AI) is generating both interest and investment from companies hoping to leverage the power of autonomous, self-learning solutions. The Pentagon recently earmarked $2 billion in funding to help the Defense Advanced Research Projects Agency (DARPA) push AI forward, and artificially intelligent solutions are dominating industry subsets such as medical imaging, where AI companies raised a combined $130 million worth of investments from March 2017 through June 2018. Information security deployments are also on the rise as IT teams leverage AI to defeat evolving attack methods, and recent data suggests that AI implementation could both boost gross domestic product (GDP) and generate new jobs. It's easy to see AI as a quick fix for everything from stagnating revenues to medical advancement to network protection. According to a recent survey from ESET, however, new increasing business expectations and misleading marketing terminology have generated significant hype around AI, to the point where 75 percent of IT decision-makers now see AI as the silver bullet for their security issues.

Three Palestinian boys aged between 13 and 14 have been killed in an Israeli air raid in the southeastern Gaza Strip, according to health officials.